SYNTHES ALGORITHM SETTING NEURAL NETWORK REGULATOR AVIATION GAS TURBINE ENGINE

Tedann: Turbine Engine Diagnostic Artificial Neural Network

The U.S. Army Ordnance Center and School and Pacific Northwest Laboratory have developed a system that employs Artificial Neural Network (ANN) technology to perform diagnosis and prognosis of fuel flow problems in the AGT-1500 gas turbine engine of the M1A1 Abrams tank. This paper describes the design and prototype development of the diagnostic system, referred to as "TEDANN" for Turbine Engine...

Gas Turbine Engine Behavioral Modeling

This paper develops and validates a power flow behavioral model of a gas turbine engine with a gas generator and free power turbine. “Simple” mathematical expressions to describe the engine’s power flow are derived from an understanding of basic thermodynamic and mechanical interactions taking place within the engine. The engine behavioral model presented is suitable for developing a supervisor...

Performance Based Anomaly Detection Analysis of a Gas Turbine Engine by Artificial Neural Network Approach

This present work follows our earlier research efforts on fault diagnosis and prognosis solutions considering statistical and physics based approaches. In-service performance analysis and detection of any malfunctioning in an operating small sized gas turbine engine using artificial neural network approach is the central theme of this work. The measured engine operating and performance paramete...

Titanium in the Gas Turbine Engine

Estimating Gas Turbine Internal Cycle Parameters Using a Neural Network

We show that a neural network can be successfully used in place of an actual model to estimate key unmeasured parameters in a gas turbine. As an example we study the combustion reference temperature, a parameter that is currently estimated via a nonlinear model inside the controller and is used in a number of critical mode-setting functions within the controller such as calculating the fuel-spl...